Malolan Vasu
Natural Gas Analyst
Houston, Texas, United States
Summary
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SeniorMalolan Vasu is a Natural Gas Analyst and rising junior at Lafayette College double-majoring in Computer Science and Mathematics, combining quantitative finance experience with hands-on software engineering. He has supported natural gas analysis roles at Balyasny Asset Management and ARM Energy while earlier interning in fixed income quantitative research at Brown Brothers Harriman. In parallel he conducts CS research focused on real-time computer vision, cutting model runtimes by 50% for vehicle tracking and inventing a novel representative-path algorithm for clustered tracks. His work blends efficient data structures, applied ML, and production-minded optimization—skills he brings to energy markets analysis and modeling. Based in Houston, he pairs academic rigor with practical trading-floor experience and a track record of turning computationally intensive prototypes into performant tools.
8 years of coding experience
Github Skills (5)
region10
computer-vision7
machine-learning6
autonomous-vehicles4
counting3
Programming languages (3)
Github contributions (5)
amalolan/scoreboard
Dec 2017 - Jun 2021
A flexible Scoreboard web app for Quizzes. It comes with a self-updating front-end view (simple jQuery) as well as a back-end manager view (Django). The app is live on heroku.
Contributions:37 pushes, 1 branch in 3 years 6 months
herokupythonjquerydjangoscoreboard
amalolan/vehicle-counter
Apr 2021 - Aug 2021
Vehicle Counting model that automatically detects the Region of Interest and Driving Trajectory. Under review LXAI Workshop at ICML 2021.
Contributions:48 commits, 4 PRs, 51 pushes in 3 months
workshopcomputer-visionmachine-learninginterestregion
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